PubMed · 15474129
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Brendan D Kelly, Larkin Feeney. Schizophrenia.. https://doi.org/10.1016/s0140-6736(04)17180-8
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Observational studies suggest an association between glioblastoma (GBM) and cardiovascular diseases (CVDs), but a causal relationship remains unestablished. This study aimed to investigate the causal link between multiple CVDs and GBM risk. The inverse variance weighted method indicated that all 18 CVDs had significant causal associations with GBM (P < .05). Genetically predicted CVDs were uniformly associated with a lower risk of GBM (odds ratio < 1), identifying them as potential protective factors. Sensitivity analyses confirmed the absence of significant heterogeneity or horizontal pleiotropy, and the MR-Steiger test validated the correct causal direction. This Mendelian randomization (MR) study provides evidence that a range of CVDs are causally associated with a decreased risk of developing GBM. These findings suggest shared biological pathways and offer new insights for understanding GBM etiology. We conducted a 2-sample MR analysis using publicly available genome-wide association study data. GBM was the outcome, and 18 cardiovascular-related traits (including coronary artery disease, myocardial infarction, and venous thromboembolism) were exposures. Instrumental variables were single-nucleotide polymorphisms significantly associated with exposures (P < 5 × 10-8). The primary analysis used the inverse variance weighted method, supplemented with MR-Egger, weighted median, and weighted mode methods. Sensitivity analyses, including Cochran Q test, MR-Egger intercept test, leave-one-out analysis, and MR-Steiger directionality test, were performed to ensure robustness.
Biocultural approaches recognize the pervasiveness and dynamism of interactions between biological and cultural phenomena, and they explicitly strive to integrate biological, sociocultural, environmental, and other kinds of data. They have been part of human biology at least since 1958, when Frank Livingstone so elegantly explained the linkages among population growth, subsistence strategy, and the distribution of the sickle cell gene in West Africa. These approaches developed further with the advent of human adaptability studies in the 1960s as part of the Human Biological Program and have become increasingly focused on understanding the impacts of everyday life on human biological variation. Biocultural approaches generate explanations that are intuitively appealing to many because they offer a kind of holistic view. They can, however, be very challenging approaches to implement, perhaps in part because we are more experienced in measuring the biological than the cultural. Some of the challenges include (1) defining precisely what we mean by constructs like socioeconomic status, poverty, rural, and urban; (2) operationalizing key variables so that they can be measured in ways that are ethnographically valid as well as replicable; (3) defining and measuring multiple causal pathways. In this paper, I briefly review the history of biocultural approaches and then illustrate some of the challenges that these approaches present with examples from my own research on nutrition and energetics as well as that of other practitioners.
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